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| import streamlit as st | |
| import weaviate_utils | |
| def display_initial_buttons(): | |
| if "upload_flow" not in st.session_state: | |
| st.session_state.upload_flow = False | |
| if "query_flow" not in st.session_state: | |
| st.session_state.query_flow = False | |
| if st.button("Upload new CSV"): | |
| st.session_state.upload_flow = True | |
| st.session_state.query_flow = False | |
| if st.button("Query existing data"): | |
| st.session_state.query_flow = True | |
| st.session_state.upload_flow = False | |
| def display_class_dropdown(client): | |
| if st.session_state.upload_flow: | |
| existing_classes = [cls["class"] for cls in client.schema.get()["classes"]] | |
| class_options = existing_classes + ["New Class"] | |
| return st.selectbox("Select a class or create a new one:", class_options, key="class_selector_upload") | |
| elif st.session_state.query_flow: | |
| existing_classes = [cls["class"] for cls in client.schema.get()["classes"]] | |
| class_options = existing_classes + ["Query all data"] | |
| return st.selectbox("Select a class or query all data:", class_options, key="class_selector_query") | |
| def handle_new_class_selection(client, selected_class): | |
| if selected_class == "New Class": | |
| class_name = st.text_input("Enter the new class name:") | |
| class_description = st.text_input("Enter a description for the class:") | |
| if class_name and class_description: | |
| if st.button("Create Vector DB Class"): | |
| # Call function to create new class schema in Weaviate | |
| weaviate_utils.create_new_class_schema(client, class_name, class_description) | |
| def csv_upload_and_ingestion(client, selected_class): | |
| csv_file = st.file_uploader("Upload a CSV file", type=["csv"], key="csv_uploader") | |
| if csv_file: | |
| if st.button("Confirm CSV upload"): | |
| # Call function to ingest CSV data into Weaviate | |
| weaviate_utils.ingest_data_to_weaviate(client, csv_file, selected_class) | |
| def display_query_input(): | |
| question = st.text_input("Enter your question:") | |
| if question: | |
| if st.button("Submit Query"): | |
| # Call function to query TAPAS with selected data and entered question | |
| # (This function needs to be implemented) | |
| query_tapas_with_weaviate_data(st.session_state.data_source, question) | |